Sphingolipid metabolism-related genes as diagnostic markers in pneumonia-induced sepsis: the AUG model
Abstract
Abstract Pneumonia-induced sepsis (PIS) is a life-threatening condition with high mortality rates, necessitating the identification of biomarkers and therapeutic targets. Sphingolipid, particularly ceramides, are pivotal in modulating immune responses and determining cell fate. In this study, we identified a novel gene signature related to sphingolipid metabolism, comprising ACER3 , UGCG , and GBA , which are key enzymes involved in the synthesis and metabolism of ceramides. This signature, termed the “AUG model”, demonstrated strong diagnostic performance and modest prognostic efficacy across both training (GSE65682) and validation (E-MTAB-1548 and E-MTAB-5273) datasets. A clinical cohort comprising 20 PIS patients, 31 pneumonia cases, and 11 healthy controls further validated the increased expression of AUG genes at both mRNA and protein levels in peripheral blood samples upon admission. Our comprehensive analysis of bulk and single-cell transcriptome datasets revealed that these genes are implicated in immune cell death pathways, including autophagy and apoptosis. Additionally, cell-communication analysis indicated that enhanced macrophage migration inhibitory factor (MIF) signaling may be associated with dysregulated sphingolipid metabolism, potentially driving the inflammatory cascade. This study identifies a novel predictive model for PIS, highlighting the role of sphingolipid metabolism-related genes in disease progression and suggesting potential therapeutic targets for sepsis management.
Article Details
Authors (16)
Jing Wu
Xiaomin Li
Department of Chemistry, Shanghai Stomatological Hospital & School of Stomatology, State Key Laboratory of Molecular Engineering of Polymers, iChem (Collaborative Innovation Center of Chemistry for Energy Materials), Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials
Zhihao Chen
State Key Laboratory of Polymer Physics and Chemistry, Beijing National Laboratory for Molecular Sciences
Yiting Lin
Qiuyue Long
Mingzheng Jiang
Xiaoyi Hu
The Fluid Dynamics of Disease Transmission Laboratory, Fluids and Health Network, Department of Mechanical Engineering, Massachusetts Institute of Technology
Shixu Song
Hongli Ye
Jiwei Li
Fangfang Wu
Jianshi Zheng
Minghui Wang
Section of Plant Biology, School of Integrative Plant Science, Cornell University
Zhancheng Gao
Pu Ning
Yali Zheng